While coding packages (like R or Python) and tools such as NanoString DSPDA offer flexibility, they fall short in other areas. Coding tools can be complex and inconsistent, requiring deep expertise, while DSPDA sacrifices transparency and user-friendliness.
Rosalind bridges the gap—delivering an intuitive, user-friendly, and consistent experience without compromising on flexibility or transparency. With Rosalind, you get the best of both worlds: powerful, scalable analysis tools with no coding required, all within a platform designed to grow with your needs.
Scientists of every skill level can benefit from ROSALIND since no programming or bioinformatics skills are required. With NanoString GeoMx, scientists have full control from the lab to powerful downstream analysis, collaboration, and pathway exploration.
Liberate your data from the constraints of instrument-based analysis
with our powerful cloud solutions, allowing for flexible and expansive data management. Discover new insights quickly as ROSALIND efficiently processes backlog data, delivering immediate answers without draining computational resources and time on the instrument. Utilize Meta-Analysis to directly integrate spatial results with other multi-omics datasets, then instantly share the findings with anyone, anywhere in the world, significantly reducing delays in research workflows.
ROSALIND offers powerful QC analysis that provides clear insight into the quality of your data. By indicating the pass/fail status of each region or area of interest, researchers gain a comprehensive understanding of data integrity. Intuitive visualizations highlight exactly where regions or areas of interest fail during processing, enabling swift identification of issues. With the ability to adjust QC parameters and instantly reprocess data, the platform ensures that each experiment yields the highest quality results.
Novel visualization and filtering capabilities enable unprecedented control over your data. View changes to gene and region filtering in real time, with a granular and transparent view of your data that you can't get anywhere else. ROSALIND's flexible approach results in industry-leading data precision with minimal noise while preserving low expressors.
Utilize gene lists on ROSALIND to identify genes of interest before finalizing your experiment, making them easy to find in the downstream analysis. Ensure these key targets are retained in your dataset by tracking them though QC analysis, and interact with the genes of interest during differential expression to quickly focus analyses and discoveries.
ROSALIND recognizes the challenges posed by spatial data analysis, including inconsistent results, inability to scale, and the requirement for highly-specialized expertise. Now, spatial data is accessible to all users, regardless of skill level or experience. Intelligent guided workflows and tailored recommendations break down technical barriers, allowing everyone to engage with their data and achieve deep insights. ROSALIND's standardized procedures and automations are built specifically for spatial data, delivering reproducible results every time. Designed with scalability in mind, ROSALIND's GeoMx analysis supports both small and large-scale studies in a high-throughput environment, adapting to your research needs now and in the future.
Harness the power of generative AI that’s grounded in biological truth with the Rosalind Knowledge Graph for rich and insightful Literature Reviews, produced in seconds on your target genes of interest. Explore correlations to all available GeoMx data from the public repositories. Discover hidden links within your data that drive groundbreaking findings and elevate your research's impact.
With a team of specialists whose expertise eclipses the basic support offered elsewhere, Rosalind provides an unmatched level of GeoMx knowledge. Our dedicated experts, well-versed in the nuances of GeoMx technology, remain ahead of the curve, focusing on your needs while NanoString continues to innovate the platforms of tomorrow. Partner with us for industry-leading insights and support that's as advanced as your research.
Coupled with the domain expertise of our PhD-level Customer Success team, Rosalind delivers a symbiosis of technical acuity and deep scientific understanding. This dual approach ensures that your GeoMx analysis is not only technically sound but also strategically aligned with the nuances of your research domain.
Unlock the full narrative of your GeoMx data by integrating with diverse multiomics layers of data. Rosalind’s meta-analysis empowers you to compare GeoMx datasets with precision or to weave them into a broader multi-omics tapestry with Rosalind Intelligence to discover and interpret patterns in multi-omics expression and regulation.
This integrative approach ensures that your GeoMx insights are not isolated but are considered in the context of the complex biological systems they inhabit, offering a holistic understanding that drives innovative research and serves a data mining foundation for future insight harvesting.
STARTING AT $99 PER MONTH (Select your Instrument Type)
Available for Academic Research Institutions, Academic Medical Centers and non-Profit Research Institutions
STARTING AT $149 PER MONTH
Available for Academic Research Institutions, Academic Medical Centers and non-Profit Research Institutions
Need RNA-seq (bulk and Single-Cell), ChiP-seq, ATAC-seq, or miRNA-seq, too? Learn about our special Academic Pricing for Multi-Omics
Looking for solutions to help consistently manage research for your entire lab at significantly reduced costs? Learn about our Academic Team Pricing.
For commercial sales, learn more here, or contact us for quotes and custom configurations.
The New Standard in Spatial Analysis.GeoMx data analysis liberated from the instrument, forever transformed.
Flexible and Powerful Quality Control. Intuitive QC visualizations highlight data quality, to easily navigate spatial data with confidence.
Better Results. Differential expression calculated the way spatial was meant to be, including normalization method selection.
Multi-Omics Integration. Combine GeoMx spatial data with RNA-seq, Single Cell, nCounter, and more with Rosalind Meta-Analysis for deeper AI insights.
